The burden of malnutrition & frailty in patients with coronary artery disease: An under-recognized problem
Bibliographic record
Abstract
Elderly patients with coronary artery disease have a high prevalence of frailty and malnutrition. Frailty syndrome is associated with poor outcomes in patients with myocardial infarction. There is a known overlap between frailty and malnutrition, yet these are two different entities. Fried Frailty Phenotype, Frail Scale, timed up and go test, and gait speed are rapid screening tests that may identify patients with frailty in everyday clinical setting. Short Form MNA is a sensitive tool to screen for malnutrition. Despite the availability of several tools for screening for both these conditions, the screening rates remain low. We aim to create awareness about the impacts of frailty and malnutrition, provide a brief overview of tools available and highlight the importance of screening in this high-risk population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".